"50% of a company’s data has an indeterminate value."

Gartner, Organizations Will Need to Tackle Three Challenges to Curb Unstructured Data Glut and Neglect, 2015


Gain Control of Your Unstructured Data


Actionable Intelligence Management (AIM)

Every minute of every day organizations create more data and documents. Once they are created, they’re saved, shared, edited, copied and stored. Employees come and go but the documents stay; sitting on shared drives, file servers, laptops and in emails. No one truly has complete visibility into the value of all of the documents because they’re very hard to find. 

Meanwhile, there is a multitude of documents streaming into organizations. Contracts, purchase orders, applications, customer forms, proposals, NDAs all with an enormous amount of data associated with each document. These also get saved, shared, edited, copied and stored. 

With the enormous amount of documents both being created and coming into organizations as unstructured data, how do you REALLY know what you have and what do with it? Unstructured data is any data that is not organized in a pre-defined manner or has a pre-defined data model. According to Gartner, a typical organization cannot determine the type of value of 50% of its documents. An overwhelming figure.

Classification can help gain control of your unstructured data.

While still done manually in many organizations, in most cases this task can be automated to analyze what documents you have and can improve overall productivity. Automatic classification compares incoming documents with known types and categorizes them accordingly. The end result of classification is that documents can more easily be retrieved, shared, edited and stored while also reducing risk and compliance issues associated with personal, confidential or financial information. By classifying documents organizations can streamline their business processes while decreasing risk of information being misused. 

After document classification, key data is extracted automatically, metadata populated, and indexes created to make the data searchable. Many times, external databases are queried to collect related data and feed a workflow for further processing.

AIM Lifecycle: Document Capture & Analyze

    The types of documents organizations want to collect and analyze is changing drastically. It used to be just paper documents that we scanned, but email, images, audio files, social media communications including LinkedIn posts, Tweets, Instagram, Facebook posts and faxes are equally important. And each of these need to be understood so it is clear what to do with it. This is where classification comes in and can take documents and group similar or like documents together and provide the structure and framework that is needed further in the lifecycle process. This analysis is the result of using classification techniques ensuring each document is properly identified, handled, routed and stored.

    Learn more about AI Foundry's end-to-end Actionable Intelligence Lifecycle

    Click to learn more about the AIM Lifecycle


    Accurately classifying documents is a key criteria and accuracy will vary based on different document types. Our solutions enable organizations to achieve some of the highest classification rates in the industry. We also minimize false positives, which are the bane of any classification solution. It’s better to not classify documents, than to wrongly classify them, which is much more expensive to remediate.  

    Click to download the white paper!